A non-iterative robust-Gaussian filtering algorithm for roughness measurements

Peter Bakucz, József Z. Szabó, A. Várkonyi-Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

To be introduced a non-iterative robust-Gaussian filter-operator for surface roughness parameters. We use modified bilateral filtering method with an initial approximation for the roughness measurement. The operator is robust and fast in the sense that it can suppress outliers in a non-iterative way. The results are compared with the Gaussian regression filtering method.

Original languageEnglish
Title of host publicationSACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-72
Number of pages4
ISBN (Print)9781479999118
DOIs
Publication statusPublished - Aug 17 2015
Event10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2015 - Timisoara
Duration: May 21 2015May 23 2015

Other

Other10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2015
CityTimisoara
Period5/21/155/23/15

Keywords

  • Filtering
  • Filtering algorithms
  • ISO Standards
  • Robustness
  • Rough surfaces
  • Software
  • Surface roughness

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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  • Cite this

    Bakucz, P., Szabó, J. Z., & Várkonyi-Kóczy, A. (2015). A non-iterative robust-Gaussian filtering algorithm for roughness measurements. In SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 69-72). [7208172] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SACI.2015.7208172